Director, Data and Analytics

Later•Boston, MA

1d•$200,000 - $225,000•Hybrid

About The Position

Later seeks a dynamic Director of Data Analytics to oversee our Insights & Analytics team. This leadership role involves guiding a diverse, cross-functional group of embedded analysts who support our Marketing, Sales, Client Services, Creator Success, RevOps, and Product departments.You’ll own the analytics roadmap, our BI layer, and how the company uses data to make decisions. This is a player-coach role. You’ll set the strategic vision and grow the team while staying hands-on delivering high-impact analyses alongside your reports. The time split is roughly equal across three dimensions: strategic leadership, individual contribution, and people management.This is a strategic leadership role. You'll set the vision for the Data Analytics team, drive strategic initiatives, and grow the function. While staying informed on delivery and coaching the team, the emphasis will be on long-term strategy and organizational growth.

Requirements

8+ years of progressive experience in data analytics, business intelligence, or a related quantitative field
3+ years managing analytics teams, with a track record of developing high-performing analysts
Proven ability to own and execute an analytics roadmap across multiple business domains simultaneously
Deep SQL expertise and proficiency with modern BI tools (Domo, Mode)
Experience with a cloud data warehouse (BigQuery) and data modeling patterns
Experience building predictive models, forecasting tools, or data science–adjacent products (Python/R a plus)
Strong financial acumen—comfortable with MRR/ARR modeling, revenue attribution, and LTV/CAC analysis
Exceptional stakeholder management across executive, technical, and operational audiences
Experience in marketplace, creator economy, or influencer marketing is highly valued
A bias for action and comfort with ambiguity in a fast-paced, evolving environment

Nice To Haves

Experience with influencer marketing platforms, creator commerce, or affiliate/performance marketing analytics
Familiarity with CRM/GTM tools (Salesforce, HubSpot) and product analytics platforms (Amplitude, Mixpanel)
Background in data governance, semantic layers, or enterprise data dictionary development
Experience with AI/ML–powered analytics products (campaign prediction, scoring algorithms, churn models)
Track record of BI platform migrations or consolidation projects

Responsibilities

Own the Analytics Roadmap
Define quarterly and annual analytics priorities, aligning to company OKRs across Later Social, Later Influence, and Mavely
Balance strategic builds (predictive models, campaign forecasting, self-serve dashboards) with operational support and ad hoc stakeholder requests
Drive the shift from reactive reporting to proactive, insight-driven analytics that directly influences business outcomes
Own the BI Layer
End-to-end ownership of the business intelligence layer, including dashboard strategy, semantic modeling, and data governance
Lead BI platform consolidation and modernization, expanding self-serve analytics capabilities across the organization
Build enterprise data products: forecast calculators, benchmarking tools, client-facing dashboards, and operational reports
Partner with Data Engineering on data warehouse strategy, data quality frameworks, and metric standardization
Partner Cross-Functionally
Serve as the primary analytics partner to senior stakeholders across the business: Marketing: demand generation, paid media, ABM, attribution, and marketing ROI Sales: pipeline analytics, revenue forecasting, and CRM reporting Client Services: campaign performance, client health, utilization, and enterprise account analytics Creator Success: creator scoring, GMV attribution, account management dashboards, and creator-facing reports RevOps & Finance: MRR/ARR modeling, churn analysis, pricing analytics, and operational reporting Product & Engineering: product analytics strategy, data infrastructure, and featureadoption
Translate complex data insights into clear, actionable recommendations for executive audiences
Manage a structured service desk intake process for analytics requests with business priority scoring
Lead the Team
Manage and grow a cross-functional team of analysts across marketing analytics, client/creator analytics, commerce analytics, data science, and BI engineering
Operate as a player-coach: set direction and remove blockers while personally contributing to high-impact analyses and data products
Run sprint planning, resource allocation, and capacity planning across concurrent workstreams
Build career development frameworks and onboarding programs for new analysts
Own the hiring roadmap to scale the team in line with business growth